Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications

This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:

• an exclusive section on essential preprocessing approaches for the data-driven model
• a detailed overview of data-driven model applications to power system planning and operational activities
• specific focus on developing forecasting models for renewable generations such as solar PV and wind power, and
• showcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworks

This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.

Dr. B Rajanarayan Prusty (Senior Member, IEEE) is a Professor and Associate Dean Research in the School of Engineering, Galgotias University, Greater NOIDA, INDIA. He obtained his Ph.D. from the National Institute of Technology Karnataka, Surathkal. His exceptional research work during his Ph.D. has led him to crown the prestigious POSOCO Power System Awards for 2019 by Power System Operation Corporation Limited in partnership with IIT Delhi. In recognition of his publications from 2017 to 2019, he was awarded the University Foundation Day Research Award-2019 from BPUT, Odisha. He has 30 SCI journal publications and 50 international conference publications. He has authored 10 book chapters. He has co-authored a textbook entitled ＂Power System Analysis: Operation and Control＂ in I. K. International Publishing House Pvt. Ltd. He has also edited two books for CRC Press. He has been an active reviewer and has reviewed more than 500 manuscripts. He is the Associate Editor of ＂Journal of Electrical Engineering & Technology,＂ and ＂International Journal of Power and Energy Systems.＂ He is also the Academic Editor for the journals (i) ＂Mathematical Problems in Engineering,＂ (ii) ＂International Transactions on Electrical Energy Systems,＂ and (iii) ＂Journal of Electrical and Computer Engineering.＂ He has handled more than 200 manuscripts in the capacity of Journal Editor. His research interests include data preprocessing, time series forecasting, high-dimensional dependence modeling, and applying machine learning and probabilistic methods to power system problems.

Dr. Neeraj Gupta is Ph.D. in power systems from Indian Institute of Technology Roorkee, Roorkee, India. He is a senior member of IEEE. He was a faculty with the Thapar University, from 2008 to 2009, Adani Institute of Infrastructure Engineering, Ahmedabad, India, in 2015 and NIT Hamirpur from 2015 to 2018 and presently, he has been working as an Assistant professor with the Electrical Engineering Department, National Institute of Technology, Srinagar, J&K, India. His work has been published in Q-1 international journals of repute like IEEE, Elsevier etc. He is presently guiding 04 Ph.D. scholars in the area of power systems. He has also supervised 08 M.Tech. and 04 B.Tech. dissertations. He has more than 40 SCI journal publications/conference publications/book chapters to his credit. He has edited three books titled ＂Control of standalone microgrid (Elsevier 2021)＂, Renewable Energy Integration to the Grid: A Probabilistic Perspective (CRC press 2022) and ＂Smart Electrical and Mechanical Systems: An Application Publisher (Elsevier 2022)＂. . He has been an active reviewer since 2015 and has reviewed 200 manuscripts submitted to repute SCI-indexed Journals/conferences. He has delivered 15 invited expert talks in various organizations in India. He is also in the scientific advisory/organizing secretary of many reputed conferences of the country. He is referee of reputed journals of IEEE, Elsevier, Taylor and Francis, IET etc. He has been included in the list of top 2% highly cited scientists by Stanford University working in power in 2021. His research interests include uncertainty quantification of power system, probabilistic power system, solar, wind, and electric vehicle technologies, Artificial intelligence, Machine learning, prediction etc.

Dr. Kishore Bingi received the B.Tech. Degree in Electrical and Electronics Engineering from Acharya Nagarjuna University, India, in 2012. He received the M.Tech. Degree in Instrumentation and Control Systems from the National Institute of Technology Calicut, India, in 2014, and a Ph.D. in Electrical and Electronic Engineering from Universiti Teknologi PETRONAS, Malaysia, in 2019. From 2014 to 2015, he worked as an Assistant Systems Engineer at TATA Consultancy Services Limited, India. From 2019 to 2020, he worked as Research Scientist and Post-Doctoral Researcher at the Universiti Teknologi PETRONAS, Malaysia. From 2020 to 2022, he served as an Assistant Professor at the Process Control Laboratory, School of Electrical Engineering, Vellore Institute of Technology, India. Since 2022 he has been working as a faculty member at the Department of Electrical and Electronic Engineering at Universiti Teknologi PETRONAS, Malaysia. His research area is developing fractional-order neural networks, including fractional-order systems and controllers, chaos prediction and forecasting, and advanced hybrid optimisation techniques. He is an IEEE and IET Member and a registered Chartered Engineer (CEng) from Engineering Council UK.

Prof. Rakesh Sehgal is currently working as Professor (HAG), National Institute of Technology, Hamirpur (H.P.) after serving as Director, National Institute of Technology for more than 5 years. Prof. Sehgal received his B.E. degree in Mechanical Engineering with distinction from Faculty of Engineering & Technology, Annamalai University (T.N), M.Tech. in Design of Mechanical Equipment from IIT Delhi with 9.75 CGPA securing first position in Design stream and Ph.D. in Tribology from R.E.C. Kurukshetra, Kurukshetra University. He pursued Post Doctorate in the area of thermal behaviour of Non-Circular Hydrodynamic Journal Bearings under UGC Fellowship Award between 2009-2011 and developed film thickness equations for Elliptical and Off-set Halves hydrodynamic journal bearings. Prof. Sehgal has a distinguished career of 38 years in field, teaching, research and administration. Prof. Sehgal has supervised 11 Ph.D. scholars and 01 post-doctoral scholar in the area of tribo-materials, active vibration control and thermal analysis of non-circular journal bearings for various industrial applications in automobile, aerospace and metal rolling sectors. He is presently guiding 07 Ph.D. scholars in the area of material’s tribology. He has published 178 research papers in International/National Journals and International/National conference proceedings, 06 reference books, 03 patents and 22 high quality book chapters. Prof. Sehgal has completed 06 high value research projects (05 national and 01 International) and is currently handling 03 (01 National and 02 International) projects. He has attended more than 35 International/National conferences in India and abroad.